When I was a kid, I literally walked 43 miles from my home one day. Took 15 hours. I just had my parents pick me up when I got to the pizza place - no big deal.

Okay. That’s a very convincing analogy. Thanks for the thought out response. Forgive me for being rude.

That is not how Hispanic is used in the dataset. Just read the methodology for crying out loud.

Not unless someone methodologically captures all the accounts through interviews and surveys and turns it into one.

I agree that anecdotes aren’t worthless, but for different reasons. There’s actually a saying that goes, “the plural of anecdote isn’t data.” Anecdotes are just stories. They aren’t data points and they aren’t peer reviewed. If you want to turn anecdotes into data, you have to do the proper interviews and surveys to actually build a dataset and then get the peer review, but at that point we aren’t talking about anecdotes anymore.

Uber Black drivers are commercially licensed in addition to satisfying a bunch of other requirements.

Just say you recently came into some inheritance and that you are looking into investment opportunities. Then they will expect you to be out of your element, so you won’t need to try to pretend you’re someone you’re not. If they ask about the inheritance, say your grandfather made a fortune selling lumber or something boring like that.

I heard it was supposed to be human body temperature, but they used horse body temperature instead because it was close to human body temperature but more… stable.

A vector space is a collection of vectors in which you can scale vectors and add vectors together such that the scaling and addition operations satisfy some nice relationships. The 2D and 3D vectors that we are used to are common examples. A less common example is polynomials. It’s hard to think of a polynomial as having a direction and a magnitude, but it’s easy to think of polynomials as elements of the vector space of polynomials.

That’s not how suburbs work. Suburbs aren’t about municipalities - they’re about zoning and proximity to an urban area. You clearly don’t know what you’re talking about and want to disagree with people who have first hand experience, so I’m not going to argue with you about this. Have a good one

Yes. Long Island is New York City. I lived there and my address said New York, New York.

I brain farted. I lived in Staten Island, but the point stands. Staten Island is a suburb of New York and is in New York. My current living situation is identical with respect to my current major city. I live in a suburb, but my address says the name of the major city.

What do you mean? Almost every major city has suburbs (at least in my country). I live in one of the top ten most populous cities in the US and I live in the suburbs.

sets a dangerous precedent where the government knows better than the markets

Wtf. You could say this about literally any law. Outlawing murder-for-hire sets a dangerous precedent where the government knows better than the markets. Making people pay income tax sets a dangerous precedent where the government knows better than the markets. Speed limits set a dangerous precedent where the government knows better than the markets. What a terrible argument.

Language parsing is a routine process that doesn’t require AI and it’s something we have been doing for decades. That phrase in no way plays into the hype of AI. Also, the weights may be random initially (though not uniformly random), but the way they are connected and relate to each other is not random. And after training, the weights are no longer random at all, so I don’t see the point in bringing that up. Finally, machine learning models are not brute-force calculators. If they were, they would take billions of years to respond to even the simplest prompt because they would have to evaluate every possible response (even the nonsensical ones) before returning the best answer. They’re better described as a greedy algorithm than a brute force algorithm.

I’m not going to get into an argument about whether these AIs understand anything, largely because I don’t have a strong opinion on the matter, but also because that would require a definition of understanding which is an unsolved problem in philosophy. You can wax poetic about how humans are the only ones with true understanding and that LLMs are encoded in binary (which is somehow related to the point you’re making in some unspecified way); however, your comment reveals how little you know about LLMs, machine learning, computer science, and the relevant philosophy in general. Your understanding of these AIs is just as shallow as those who claim that LLMs are intelligent agents of free will complete with conscious experience - you just happen to land closer to the mark.

It’s supposed to be E^2 = (mc^2 )^2 + AI^2 , which implies that AI = pc, because AI is the momentum that will carry us into the future. These rookies clearly just took the square root using freshman’s dream.

Of course! I’m always excited for an opportunity to discuss these sorts of things, so I should be thanking you instead.

I’ll preface this with the fact that I am also not a physicist.

String theory isn’t best described as a genre of physics - it really is a standalone concept. Dark matter and black holes are subjects of cosmology, while string theory is an attempt to unify quantum physics with general relativity. Could string theory be used to study black holes and dark matter? Sure, but it isn’t like physicists are studying black holes and dark matter using methods completely independent from one another and lumping both practices under the label string theory as a simple matter of categorization.

You are correct to say that string theory is an attempt at a theory of everything, but what is a theory of everything? It’s more than a collection of ideas that explain a large swath of physical phenomena wrapped into a single package tied with a nice bow. Indeed, when people propose a theory of everything, they are constructing a single mathematical model for our physical reality. It can be difficult to understand exactly what that means, so allow me to clarify.

Modern theoretical physics is not described in the same manner as classical Newtonian physics. Back then, physical phenomena were essentially described by a collection of distinct models whose effects would be combined to come to a complete prediction. For example, you’d have an equation for gravity, an equation for air resistance, an equation for electrostatic forces, and so on, each of which makes contributions at each point in time to the motion of an object. This is how it still occurs today in applied physics and engineering, but modern theoretical physics - e.g., quantum mechanics, general relativity, and string theory - is handled differently. These theories tend to have a single single equation that is meant to describe the motion of all things, which often gets labeled the principle of stationary action.

The problem that string theory attempts to solve is that the principle of stationary action that arises in the quantum mechanics and the principle of stationary action that arises in general relativity are incompatible. Both theories are meant to describe the motion of everything, but they contradict each other - quantum mechanics works to describe the motion of subatomic particles under the influence of strong, weak, and electromagnetic forces while general relativity works to describe the motion of celestial objects under the influence of gravity. String theory is a way of modeling physics that attempts to do away with this contradiction - that is, string theory is a proposal for a principle of stationary action (which is a single equation) that is meant to unify quantum mechanics and general relativity thus accurately describing the motion of objects of all sizes under the influence of all known forces. It’s in this sense that string theory is a standalone concept.

There is one caveat however. There are actually multiple versions of string theory that rely on different numbers of dimensions and slightly different formulations of the physics. You could say that this implies that string theory is a genre of physics after all, but it’s a much more narrow genre than you seemed to be suggesting in your comment. In fact, Edward Witten showed that all of these different string theories are actually separate ways of looking at a single underlying theory known as M-theory. It could possibly be said that M-theory unifies all string theories into one thus restoring my claim that string theory really is a standalone concept.

https://twitter.com/latifnasser/status/1750952860131729544

In discussions about intelligence we’re always talking about the ability to acquire knowledge, not knowledge itself.

I’m not talking about either of these things. I have already stated that I’m not referring to knowledge. Additionally, I do not agree that intelligence is merely the ability to acquire knowledge. Intelligence is famously difficult to define - but I’m working with a definition akin to a capacity for problem solving and pattern recognition. If we can’t see eye to eye there, then we’re clearly talking past each other.

Thanks for the interesting conversation. I wish you well.

You’re taking my analogy too far. Learning isn’t your ability to exercise intelligence. It’s simply the acquisition of knowledge or skills usually through study or training. You’re going to have to provide an argument or a source to back up the claim that intelligence is innate and that it can’t be changed by adjusting our behavior. You’re going to have to show that intelligence is nearly 100% determined by genetics. Those are the types of claims that eugenicists make regarding intelligence by the way, and I’m pretty sure that would make you uncomfortable given your other comment on IQ tests.